AIMC Topic: Observer Variation

Clear Filters Showing 31 to 40 of 312 articles

Assessment of inter-rater and intra-rater reliability of the Luna EMG robot as a tool for assessing upper limb proprioception in patients with stroke-a prospective observational study.

PeerJ Aug 29, 2024
BACKGROUND: The aim of the study was to assess the inter-rater and intra-rater agreement of measurements performed with the Luna EMG (electromyography) multifunctional robot, a tool for evaluation of upper limb proprioception in individuals with stro...
Upper Extremity Humans Stroke Rehabilitation Prospective Studies Proprioception Aged Female Robotics Adult Reproducibility of Results Electromyography Male Stroke Middle Aged Observer Variation
View on PubMed DOI

Reliability of a generative artificial intelligence tool for pediatric familial Mediterranean fever: insights from a multicentre expert survey.

Pediatric rheumatology online journal Aug 23, 2024
BACKGROUND: Artificial intelligence (AI) has become a popular tool for clinical and research use in the medical field. The aim of this study was to evaluate the accuracy and reliability of a generative AI tool on pediatric familial Mediterranean feve...
Surveys and Questionnaires Child Observer Variation Familial Mediterranean Fever Humans Artificial Intelligence Reproducibility of Results
View on PubMed DOI

AI-KODA score application for cleanliness assessment in video capsule endoscopy frames.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy Aug 13, 2024
BACKGROUND: Currently, there is no automated method for assessing cleanliness in video capsule endoscopy (VCE). Our objectives were to automate the process of evaluating and collecting medical scores of VCE frames according to the existing KOrea-Cana...
Humans Artificial Intelligence Mobile Applications Observer Variation Capsule Endoscopy Intestine, Small Prospective Studies Female Reproducibility of Results Male
View on PubMed DOI

Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 28, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) cine imaging is still limited by long acquisition times. This study evaluated the clinical utility of an accelerated two-dimensional (2D) cine sequence with deep learning reconstruction (Sonic DL) t...
Humans Adult Male Ventricular Function, Left Prospective Studies Magnetic Resonance Imaging, Cine Stroke Volume Female Ventricular Function, Right Reproducibility of Results Aged Middle Aged Predictive Value of Tests Deep Learning Heart Ventricles Time Factors Image Interpretation, Computer-Assisted Observer Variation
View on PubMed DOI

Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters.

Science bulletin Jul 23, 2024
In medical image segmentation, it is often necessary to collect opinions from multiple experts to make the final decision. This clinical routine helps to mitigate individual bias. However, when data is annotated by multiple experts, standard deep lea...
Image Processing, Computer-Assisted Diagnostic Imaging Observer Variation Calibration Humans Neural Networks, Computer Algorithms Deep Learning
View on PubMed DOI

Artificial intelligence-derived left ventricular strain in echocardiography in patients treated with chemotherapy.

The international journal of cardiovascular imaging Jul 23, 2024
Global longitudinal strain (GLS) is an echocardiographic measure to detect chemotherapy-related cardiovascular dysfunction. However, its limited availability and the needed expertise may restrict its generalization. Artificial intelligence (AI)-based...
Observer Variation Cardiotoxicity Middle Aged Neoplasms Antineoplastic Agents Male Predictive Value of Tests Humans Ventricular Function, Left Heart Ventricles Artificial Intelligence Stroke Volume Ventricular Remodeling Retrospective Studies Echocardiography Ventricular Dysfunction, Left Female Reproducibility of Results Image Interpretation, Computer-Assisted Aged Aged, 80 and over
View on PubMed DOI

Assessing accuracy and consistency in intracranial aneurysm sizing: human expertise vs. artificial intelligence.

Scientific reports Jul 12, 2024
Intracranial aneurysms (IAs) are a common vascular pathology and are associated with a risk of rupture, which is often fatal. Aneurysm growth of more than 1 mm is considered a surrogate of rupture risk, therefore, this study presents a comprehensive ...
Male Artificial Intelligence Middle Aged Female Observer Variation Reproducibility of Results Computed Tomography Angiography Intracranial Aneurysm Humans Aged
View on PubMed DOI

2-Dimensional Echocardiographic Global Longitudinal Strain With Artificial Intelligence Using Open Data From a UK-Wide Collaborative.

JACC. Cardiovascular imaging Jul 10, 2024
BACKGROUND: Global longitudinal strain (GLS) is reported to be more reproducible and prognostic than ejection fraction. Automated, transparent methods may increase trust and uptake.
Machine Learning Reproducibility of Results Biomechanical Phenomena Ventricular Function, Left Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Datasets as Topic Observer Variation United Kingdom Echocardiography Consensus Predictive Value of Tests Ventricular Dysfunction, Left Myocardial Contraction Global Longitudinal Strain
View on PubMed DOI

Validation of Artificial Intelligence in the Classification of Adolescent Idiopathic Scoliosis and the Compairment to Clinical Manual Handling.

Orthopaedic surgery Jul 3, 2024
OBJECTIVE: The accurate measurement of Cobb angles is crucial for the effective clinical management of patients with adolescent idiopathic scoliosis (AIS). The Lenke classification system plays a pivotal role in determining the appropriate fusion lev...
Observer Variation Scoliosis Male Adolescent Child Thoracic Vertebrae Humans Artificial Intelligence Female
View on PubMed DOI

Inter-Rater and Intra-Rater Agreement in Scoring Severity of Rodent Cardiomyopathy and Relation to Artificial Intelligence-Based Scoring.

Toxicologic pathology Jun 22, 2024
We previously developed a computer-assisted image analysis algorithm to detect and quantify the microscopic features of rodent progressive cardiomyopathy (PCM) in rat heart histologic sections and validated the results with a panel of five veterinary...
Artificial Intelligence Algorithms Reproducibility of Results Animals Image Processing, Computer-Assisted Myocardium Rats Pathologists Observer Variation Cardiomyopathies
View on PubMed DOI
Popular Topics
Recent Journals